Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
561-06-005 ISMRM Abstract

Scanner integrated slice-specific B0 shimming using maximal signal intensity in GRE EPI with Blackbox Optimization

Accepted
Alexandre D'Astous 1,2, Arnaud Bréhéret1, Kelvin Chow3, Eva Alonso Ortiz1,2, Julien Cohen-Adad1,2,4,5
1Polytechnique Montréal, Montréal, Canada
2CHU Sainte-Justine Research Center, Montréal, Canada, Canada
3Cardiovascular MR R&D, Siemens Healthcare Ltd., Calgary, Canada
4Mila - Quebec AI Institute, Montreal, Canada
5Functional Neuroimaging Unit, Montreal, Canada
Presenting Author: Alexandre D'Astous

Synopsis

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References

1. Kaptan M, Vannesjo SJ, Mildner T, Horn U, Hartley-Davies R, Oliva V, et al. Automated slice-specific z-shimming for functional magnetic resonance imaging of the human spinal cord. Hum Brain Mapp. 2022 Aug 8; Available from: http://dx.doi.org/10.1002/hbm.26018 [doi]
2. Finsterbusch J, Eippert F, Büchel C. Single, slice-specific z-shim gradient pulses improve T2*-weighted imaging of the spinal cord. Neuroimage. 2012 Feb 1;59(3):2307–15. Available from: http://dx.doi.org/10.1016/j.neuroimage.2011.09.038 [doi]
3. Breheret A, D’Astous A, Ma Y, Stockmann JP, Cohen-Adad J. Impact of through-slice gradient optimization for dynamic slice-wise shimming in the cervico-thoracic spinal cord. Magn Reson Med. 2025 Sep;94(3):1090–102. Available from: http://dx.doi.org/10.1002/mrm.30543 [doi]
4. Willey D, Darnell D, Song AW, Truong TK. Application of an integrated radio-frequency/shim coil technology for signal recovery in fMRI. Magn Reson Med. 2021 Dec;86(6):3067–81. Available from: http://dx.doi.org/10.1002/mrm.28925 [doi]
5. Tsivaka D, Williams SCR, Medina S, Kowalczyk OS, Brooks JCW, Howard MA, et al. A second-order and slice-specific linear shimming technique to improve spinal cord fMRI. Magn Reson Imaging. 2023 Oct;102:151–63. Available from: http://dx.doi.org/10.1016/j.mri.2023.06.012 [doi]
6. Chow K, Kellman P, Xue H. Prototyping image reconstruction and analysis with FIRE. In: Proceedings SCMR 24th Annual Scientific Sessions, Virtual Meeting.
7. Inati SJ, Naegele JD, Zwart NR, Roopchansingh V, Lizak MJ, Hansen DC, et al. ISMRM Raw data format: A proposed standard for MRI raw datasets. Magn Reson Med. 2017 Jan;77(1):411–21. Available from: http://dx.doi.org/10.1002/mrm.26089 [doi]
8. Audet C, Le Digabel S, Montplaisir VR, Tribes C. Algorithm 1027: NOMAD version 4: Nonlinear optimization with the MADS algorithm. ACM Trans Math Softw. 2022 Sep 30;48(3):1–22. Available from: https://doi.org/10.1145/3544489 [doi]
9. De Leener B, Lévy S, Dupont SM, Fonov VS, Stikov N, Louis Collins D, et al. SCT: Spinal Cord Toolbox, an open-source software for processing spinal cord MRI data. Neuroimage. 2017 Jan 15;145(Pt A):24–43. Available from: http://dx.doi.org/10.1016/j.neuroimage.2016.10.009 [doi]
10. D’Astous A, Cereza G, Papp D, Gilbert KM, Stockmann JP, Alonso-Ortiz E, et al. Shimming toolbox: An open-source software toolbox for B0 and B1 shimming in MRI. Magn Reson Med [Internet]. 2023 Apr;89(4):1401–17. Available from: doi:10.1002/mrm.29528 [doi]

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